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Reda Kasmi
Affiliation : University of Béjaïa
- 16Publications (affiliation in Algeria)
- 17Total publications
- 749Citations
- 10h-index
Research profile
Reda Kasmi has 16 indexed publications (2015–2026). Their work appears mainly in “Skin Research and Technology”, “Biomedical Signal Processing and Control” and “HAL”. Their most cited article, “Classification of malignant melanoma and benign skin lesions: implementation of automatic ABCD rule” (2016), has been cited 262 times. 5 of these publications date from the last three years of activity. Their work is co-authored with at least 11 researchers.
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Create my free profile Add my publicationsResearch areas
- Cutaneous Melanoma Detection and Management
- Medical Image Segmentation Techniques
- AI in cancer detection
- Advanced Neural Network Applications
- Advanced Clustering Algorithms Research
Publications (16)
- A new algorithm for MR image segmentation using modified FCM and PSO-CNN methods
- Automatic Melanocytic Skin Lesion Segmentation Using a MobileNetV3-Large U-Net Optimized by Bayesian Hyperparameter
- Basal Cell Carcinoma Detection Using Convolutional Neural Network
- A New Algorithm for the Automatic Skin Ulcer Detection Using Color Features
- Efficient convolutional LDPC decoding for Nakagami-m fading channels in 5G-NR
- SharpRazor: Automatic removal of hair and ruler marks from dermoscopy images
- ChimeraNet: U-Net for Hair Detection in Dermoscopic Skin Lesion Images
- Automatic segmentation and melanoma detection based on color and texture features in dermoscopic images
- Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images
- Automatic lesion border selection in dermoscopy images using morphology and color features
- Segmentation and classification of melanoma and benign skin lesions
- Automatic Separation of Basal Cell Carcinoma from Benign Lesions in Dermoscopy Images with Border Thresholding Techniques
- Classification of malignant melanoma and benign skin lesions: implementation of automatic ABCD rule
- Thresholding methods for lesion segmentation of basal cell carcinoma in dermoscopy images
- Adaptable texture‐based segmentation by variance and intensity for automatic detection of semitranslucent and pink blush areas in basal cell carcinoma
- Biologically inspired skin lesion segmentation using a geodesic active contour technique
Publication venues
- Skin Research and Technology × 6
- Biomedical Signal Processing and Control × 1
- HAL × 1
- Recent Advances in Computer Science and Communications × 1
- Traitement du signal × 1
- Physical Communication × 1
Publications per year
- 20262
- 20253
- 20231
- 20221
- 20211
- 20192
- 20172
- 20163
- 20151
Collaborations
Partner institutions : Mouloud Mammeri University of Tizi-Ouzou · University of Bouira
Co-authors
- Karim Mokrani
- Lilia Bensadi
- Meriem Chahinez Benabdelhak
- Abdenour Mekhmoukh
- Salim Chelbi
- Nour El Houda Zareb
- Riad Dib
- Mohamed Azni
- S. Oukil
- Zohra Ameur
- Fekrache Dalila
Bibliographic data from OpenAlex (open database).
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